AI Product Owner

We are looking for an experienced AI Product Owner to lead the strategy, definition, and delivery of AI-powered products and solutions. The ideal candidate will act as the bridge between business stakeholders, data/AI teams, engineering, and users to translate business needs into scalable AI products that deliver measurable business value.

Key Responsibilities

• Own and manage the AI product vision, strategy, roadmap, and backlog.
• Translate business objectives and user needs into clear AI product requirements, user stories, acceptance criteria, and priorities.
• Partner with Data Science, Machine Learning, Generative AI, Engineering, Data Engineering, UX, and business teams to deliver AI solutions.
• Identify and prioritize high-value opportunities for AI, Machine Learning, Generative AI, LLMs, and automation.
• Define product requirements for AI capabilities including predictive analytics, intelligent automation, recommendation systems, conversational AI, and GenAI applications.
• Work closely with technical teams to understand data requirements, model capabilities, integrations, APIs, and platform dependencies.
• Manage product backlog, sprint planning, prioritization, release planning, and stakeholder communication using Agile/Scrum methodologies.
• Define and monitor product KPIs, adoption metrics, business outcomes, model performance, and ROI.
• Conduct user research, stakeholder interviews, workshops, and requirements-gathering sessions.
• Collaborate with AI/ML teams to establish appropriate model evaluation, monitoring, explainability, quality, and governance requirements.
• Ensure AI products address data privacy, security, responsible AI, regulatory, and compliance considerations.
• Coordinate UAT, product validation, release readiness, and production rollout.
• Continuously evaluate market trends and emerging AI/GenAI technologies and identify opportunities for product innovation.
• Communicate product strategy, progress, risks, and outcomes to senior leadership and business stakeholders.

Required Qualifications

• 10+ years of overall product management, business analysis, technology, or related experience.
• Proven experience working as a Product Owner / Product Manager for technology or data-driven products.
• Strong understanding of AI/ML concepts and AI product lifecycle.
• Experience working with Generative AI, LLMs, AI agents, predictive analytics, or intelligent automation.
• Strong experience with Agile/Scrum, product backlog management, user stories, prioritization, and sprint execution.
• Experience translating complex business requirements into technical/product requirements.
• Strong understanding of data, analytics, APIs, cloud platforms, and technology integrations.
• Excellent stakeholder management and communication skills.
• Ability to work effectively across business and technical teams.
• Strong analytical, problem-solving, and decision-making skills.

Preferred Qualifications

• Experience delivering enterprise AI products from concept/POC through production.
• Experience with Azure, AWS, or Google Cloud AI services.
• Exposure to OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms.
• Experience with RAG, vector databases, LLM applications, prompt engineering, or AI agents.
• Knowledge of Responsible AI, AI governance, model risk, privacy, and security.
• Experience with Jira, Confluence, Azure DevOps, or similar product management tools.
• Experience working in large enterprise environments.

Key Skills

AI Product Management • Product Strategy • Product Roadmap • Product Backlog • Agile/Scrum • AI/ML • Generative AI • LLM • AI Agents • Predictive Analytics • Data & Analytics • User Stories • Requirements Gathering • Stakeholder Management • KPI/OKR Management • UAT • Release Management • API Integration • Cloud Platforms • Responsible AI • AI Governance • Business Analysis

Candidate Eligibility

Candidates must have valid US work authorization, such as EAD, and be available to work in Georgia (GA) as required by the client.